Skills : Data Analytics Engineer, Data Engineer, ETL, Data Pipeline, Data Warehousing, Data Modeling, SQL, Python, Big Data, Hadoop, Spark, Kafka, Cloud Platforms,
Description :
Title - Data Analytics Engineer
Experience = 3 - 8 years
Location - Delhi
Job Description:
- Data Pipeline Development: Design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines to ingest and process large volumes of data from various sources.
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- Data Warehousing: Develop and manage data warehouses and data marts to store structured and unstructured data, ensuring data integrity, security, and accessibility.
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- Data Modeling: Create and optimize data models to support efficient querying and reporting.
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- Data Integration: Integrate data from different sources, ensuring data consistency and quality across the organization.
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- Data Analysis: Collaborate with data scientists and analysts to build and deploy data-driven solutions, including dashboards, reports, and predictive models.
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- Performance Optimization: Monitor and optimize data processing systems for performance and scalability.
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- Collaboration: Work closely with cross-functional teams to understand their data needs and provide timely and accurate insights.
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- Documentation: Document data processes, pipelines, and models to ensure clarity and knowledge sharing within the team.
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- Technology Stack: Stay updated with the latest trends and technologies in data engineering and analytics, and recommend improvements to the current tech stack.